September 27

God Calls Your Name
Bible in a Year:
Isaiah 3–4
Galatians 6
He said, “Hagar, slave of Sarai, where have you come from, and where are you going?”

Today's Scripture & Insight:

Genesis 16:1–9, 16
Natalia went to a different nation with the promise of receiving an education. But soon the father in her new home began physically and sexually abusing her. He forced her to care for his home and children without pay. He refused to let her go outside or use the phone. She had become his slave.

Hagar was Abram and Sarai’s Egyptian slave. Neither one used her name. They called her “my slave” or “your slave” (Genesis 16:2, 5–6). They merely wanted to use her so they could have an heir.

How different is God! The angel of the Lord makes His first appearance in Scripture when He speaks to a pregnant Hagar in the desert. The angel is either God’s messenger or God Himself. Hagar believes He’s God, for she says, “I have now seen the One who sees me” (v. 13). If the angel is God, He could possibly be the Son—the One who reveals God to us—making an early, preincarnate appearance. He says her name, “Hagar, slave of Sarai, where have you come from, and where are you going?” (v. 8).

God saw Natalia and brought caring people into her life who rescued her. She’s now studying to become a nurse. God saw Hagar and called her by name. And God sees you. You may be overlooked or worse, abused. Jesus calls you by name. Run to Him.

By: Mike Wittmer

Reflect & Pray
What does it mean to you that Jesus knows your name? How might you similarly encourage others?

Thank You, Jesus, for knowing my name. I rest in Your love for me. Amen.

What is foreign exchange market trading?

Foreign exchange market trading, often referred to as forex trading or FX trading, is the process of buying and selling currencies on the foreign exchange market with the aim of making a profit. The foreign exchange market is the largest and most liquid financial market in the world, where currencies are traded 24 hours a day, five days a week. It serves several purposes:

Currency Conversion: One of the primary functions of the forex market is to facilitate currency conversion for international trade and investment. When companies or individuals engage in cross-border transactions, they often need to exchange one currency for another.

Speculation: Many participants in the forex market, known as speculators, trade currencies with the goal of profiting from changes in exchange rates. These traders buy currencies they expect to appreciate in value and sell those they expect to depreciate.

Hedging: Businesses and investors often use forex trading to hedge against currency risk. For example, a multinational corporation may use forex markets to protect against adverse exchange rate movements that could negatively impact its profits.

Key features and concepts of forex trading include:

Currency Pairs: In forex trading, currencies are quoted in pairs. The first currency in the pair is the base currency, and the second is the quote currency. The exchange rate indicates how much of the quote currency is needed to purchase one unit of the base currency.

Leverage: Forex trading often involves the use of leverage, allowing traders to control a larger position with a relatively small amount of capital. While leverage can amplify profits, it also increases the potential for significant losses.

Market Participants: Participants in the forex market include central banks, commercial banks, financial institutions, corporations, governments, and individual retail traders.

Trading Platforms: Forex trading is conducted through online trading platforms provided by brokers. These platforms offer tools and charts for technical and fundamental analysis, as well as the ability to execute trades.

Risk Management: Due to the high volatility in the forex market, risk management is crucial. Traders often use stop-loss orders to limit potential losses and set profit targets to lock in gains.

Market Analysis: Traders use various analysis methods, including technical analysis (studying price charts and patterns), fundamental analysis (examining economic and political factors), and sentiment analysis (assessing market sentiment and news).

It's important to note that forex trading carries a high level of risk, and it is not suitable for all investors. The use of leverage can result in significant losses, and traders should have a solid understanding of the market, trading strategies, and risk management before participating in forex trading. Additionally, the forex market is influenced by a wide range of factors, including economic indicators, geopolitical events, and central bank policies, making it a dynamic and complex market to navigate.

https://zylostar.com/foreign-trading-market/

Lahaina HI: officer responded, “I’m just following orders.” - Rob Pue
https://newswithviews.com/lahaina-hi-officer-responded-im-just-following-orders/

I’m Beyond Furious Rob Pue A few weeks ago, I published a message titled “Build Back Better,” in which I explained that the theme of Klous Schwab’s World Economic Forum, and his thousands of governmental minions around the world — including the Biden campaign — has been “Build Back Better.” But was everything in such utter ruins three years ago that it needed to be “built back?” Not quite yet, at that time. You see, in order to “build back,” you first have to tear down. You first have to destroy. Thus the priority of Biden regime has been non-stop destruction. This is by design.

The Global communist cabal absolutely hates Christians and be aware that those who wield power over us have absolutely no respect for human life. In fact, they view us as a “cancer” on the planet that must be eliminated.

So, let’s get to the point of today’s message. I am absolutely livid. I am incensed. I’m beyond furious. I haven’t talked about today’s topic for nearly a month, because I did not want to jump to wrong conclusions, spread misinformation or get this wrong. Because this is too big to get wrong. So, I’ve been studying and researching steadily, and have consulted more than sixty sources for what I’m going to share with you today. I’ve checked, double checked and triple checked my facts. And despite my outrage over this matter, I’ve kept my mouth shut until I had time to make sure of the conclusion I’ve come to.

I’m talking about the fire that has destroyed the historic town of Lahaina, on the island of Maui, Hawaii. One of the most beautiful places in the world. Lahaina was the capitol of the Kingdom of Hawaii until 1959 when the United States took possession of it.

But on August 8, this beautiful little town of 13,000 people was completely destroyed by fire. Approximately 2,000 structures were incinerated; 87% of them, single-family homes. One thing I’ve learned well over the years is to never trust the “official narrative” and this was never so appropriate as in this particular case. The official narrative, pushed by the governor of Hawaii, the mainstream press, and others, is that this disaster was caused by wildfires, caused by dry weather conditions, caused by “Climate Change.” Baloney!

I will say that the conclusion I’ve come to, after many hours of study and research and hearing eye-witness accounts of locals is mere speculation. It can never be anything more than that because although the Agenda 2030 fiends were pretty sloppy in their operation of wiping Lahaina off the map, they’ve covered their tracks just well enough that absolute proof can never come out.

I’ll get to my conclusion momentarily. But assuming things happened as they’re now telling us, there are still too many red flags to not come to the conclusion that the demolition of Lahaina was intentional and deliberate. They’re telling us the fires were caused by high winds knocking down power lines, which fell into dry brush on the ground. Embers were then whipped through the air (by winds that mysteriously came from the east) and lit the fires that destroyed virtually everything. So they’r

Future of Data Science Where Will We Be in 5 Years?

Data Science – Where it Stands moment?

One of the most puzzling effects for humanity is the “ query ” of the future. However, it'll be magical, If they can find a tool that will advance them a peep into the future. Data Science does just that.

This is why every existent would love to invest in reading the future by studying the “ trends ” of the present. Data Science Course In Nagpur

Data science uses Big Data( a substantial variety of dynamic data that can be structured or unshaped). It feeds the data into the algorithms and models to spell out patterns and possibilities in the future.

This is where Data Science becomes multidisciplinary and blends into Machine literacy and Artificial Intelligence.

Two primary contributors to this Data Explosion are – a growing number of devices under IoT( Internet of Effects) and Social Media.

As of 2018, there were 7 billion global biases connected through the Internet of Effects, which produced enormous quantities of data.

This number is anticipated to be 21 billion this time. The social media records show that in 2012, 72 hours of videotape were being uploaded to YouTube every nanosecond. That number went up to 65 times of videotape per day in 2020.

Data Science moment is being used by all businesses that want to use this data to make models that will help them grow their businesses by understanding trends, buyers ’ choices, and arising patterns. This is what associations are doing presently, which shows the important part data science plays

Creating Data Science Units Indeed companies that aren't directly linked with Data Science have created a unit where they hire Data Science professionals to work on analytics

Standardize the processes This process of standardization helps make good data science systems that can produce better models due to the vacuity of good data that are structured and kindly sanctified formerly. Data Science Training In Nagpur

Data Science- related skillsets In every process and every part, there's an increase in hiring workers with logical chops. For illustration, indeed in Human Resource places, companies want to hire aspirants who have been preliminarily exposed to logical tools that enable them to slice and bone data and draw meaningful conclusions from similar analysis.

In the structure of apps, nearly every service provider owns their apps – banks, telecom, and insurance. This enhances further digital commerce with guests and streamlines the digital processes that capture the data in one place latterly for data modeling.

These trends easily show the adding focus on Data Science in the current times.

The Future of Data Science:

The request size of Data Science platforms is anticipated to reach 178 billion US Bones by 2025. And this is just the Data Science platform that provides open-source software and computing coffers that Data Scientists can use and remain streamlined with the rearmost developments in the field.

The main reason behind pushing this huge rise is that, with the growth of data size, businesses are ready to invest any quantum they can in recycling the structured and unshaped data and seeing how they can meaningfully put that data to their use.

To increase profit, push request boundaries, and enhance client base, companies want to use effective means to sort the available data and see how they can produce vaticination models to study consumer trends, growth in demand, a possible depression, and contender analysis.

While numerous fears that Data Science jobs will be lost in the future due to robotization, experts prognosticate that jobs for Data Scientists will change from the way its moment.

The chops will change, and that they won't be lost. suppose of computers and computer science masterminds ’ jobs 15 times back and where technology and computer scientists stand moment.

Their skill conditions have changed because newer technology is coming up in the field. thus, further technical chops are arising. The same thing is likely to be for Data Scientists in the coming 5- 10 times.

Who can be a data scientist?

There are two orders of people who can come a data scientists

1. IT scholars and professionals- these orders of scholars have either studied computer science or an IT course and have a maids or masters in a affiliated field. also, IT professionals who want to grow professionally and move up the career graduation take up data wisdom courses to upgrade themselves.

2. Non-IT scholars and professionals- these orders of scholars are from fully different backgrounds and they've interest in working in fields like artificial intelligence, machine literacy, big data, and data analysis. These people tend to choose data science courses because they want to switch careers for both particular and professional reasons.

What are the chops demanded to be a data scientist?

There are a many rates that every person willing to be a data scientist must retain. These are-

Statistical and logical thinking station
Specialized moxie

Still, you must retain specialized moxie in the following areas-

If you want to be known as a data scientist.

Statistics
Deep literacy
Big data fabrics
Exploratory data analysis( EDA)
Knowledge of data disquisition, data processing, data metamorphosis, and data lading.
Knowledge of Python and other programming languages.
tolerance and interest
Creativity and curiosity
Communication chops
prognostications On The Future Of Data Science

It's known that one of the main tasks generally assigned to data scientists is to “ prognosticate ” the future. At the same time, the future of data scientists as a profession moment is by no means predictable. New technologies are profoundly changing the liabilities and conditioning performed by data scientists. This is also compounded by farther metamorphoses that may soon completely change the nature of similar work. Below are some prognostications in this regard.

1. The work of data scientists, who are frequently hired to automate a company’s processes and conditioning, could, in the future, be largely “ automated. ” This isn't to say that data scientists will be replaced by machines entirely; rather, their work will be greatly stoked by artificial intelligence( AI) and other forms of robotization. In numerous cases, data scientists will still be demanded to oversee and interpret the results of these automated processes. All of this, thanks in part to new low- law and no- law platforms, will grow and get espoused important faster than utmost could imagine.

2. We're entering an period when, further than ever, data science is getting a platoon sport. It’s no longer about erecting a model; it’s about what you do with the model once you have it. The real challenge is how you operationalize those models and how you take those models and work them at scale to make them practicable across the association. And that’s where I suppose the focus is going to be for the future of data wisdom.

3. Being a data scientist is moment frequently considered one of the most secure jobs in the world. At the same time, we need to add a lot of cybersecurity to it. Data scientists are likely to face a growing demand for their chops in the field of cybersecurity. As the world becomes decreasingly reliant on digital information, the need to cover this information from hackers and other cyber pitfalls will come more important. Data scientists will need to be familiar with cybersecurity tools and ways to help companies cover their data.

4. Data scientists are likely to face an adding frequence of pall computing. pall computing provides data scientists with access to important computing coffers that can be used to reuse large datasets. As further companies move to the pall, all data scientists will need to be more and more familiar with pall-grounded data processing tools and ways.

5. The work of data scientists will come much further “ operationalized, ” in part by associations employing new sets of tools that are suitable to capture the workflows of data scientists and their stylish practices and snappily and fluently train the enterprise on those stylish practices. And that’s where we will see new driving decreasingly coming in to help automate the workflows and produce a platform for companies to snappily and fluently train the enterprise on how to use those workflows

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JOES CORRUPT ANTI AMERICAN CRIME FAMILY PARTY, MUST GET LIFE IN PRISON, REMOVED FROM AMERICA,,ILLEGAL,,TRILLIONS IN FINES,,REPARATIONS TO THE CITIZENS,,,ENGINEERS DISCOVER NATIONWIDE CELLULAR NETWORK CONNECTS ELECTION EQUIPMENT TO THE FEDERAL GOVERNMENT WHO CAN CHANGE THE VOTES
Steven Ahle
Steven Ahle
August 15, 2023
Election Data Can Be Tampered With Nationwide By The Government.
A growing majority of Americans know the 2020 election was fraudulent. Many analysts who have been studying election integrity have discovered how the vote can be manipulated with the help of Homeland Security.

Fingers have rightly been pointed at all-inclusive election management software, the Albert Sensor system, Scytl and Edison, and the Election Infrastructure Information Sharing and Analysis Center (EI-ISAC).
This incestuous collaboration between the Department of Homeland Security, and the Election Assistance Commission allowed for real-time precinct monitoring, but even more alarming is the fact that they can actually switch votes from one candidate to another.

From The Gateway Pundit
While experts could understand the functional capabilities of how these programs manipulate elections at the county and state levels, one area of mystery remained. Experts could not fully explain how systems within individual precincts which are supposedly “air-gapped” were adding votes in real-time – such as KnowInk poll pads in Texas that added hundreds of votes to the 2022 midterm election after the polls had closed. To accomplish election fraud at individual polling places, it is necessary to have an air-interface with the supposedly “air-gapped” equipment networked at the polling place.

A year-long research project led by an election integrity investigator from Utah, Sophie Anderson, and communications engineer, Dr. Charles Bernardin, has uncovered the mechanism that is being used to connect our election equipment at polling places across the nation. Anderson and Bernardin met while working together in several overlapping election integrity efforts. After submitting a countless number of public documents requests from multiple federal, state, and local governments, and working with other grassroots researchers, the team realized that the federal government has indeed created a nationwide network that is capable of collecting and changing real-time voting data at polling places across the country from a central location. The private network tool is called FirstNet, and like so many things that have proven detrimental to American liberty – it was sold as a tool to ensure public safety.

The idea of a national cellular network dedicated to public safety was hatched in the wake of 9/11 when congested cell networks proved to be a bottleneck for first responders. In 2012, Congress created the First Responder Network Authority under the Department of Commerce to oversee the build-out of “FirstNet.” The original intent provided by its sponsors was that FirstNet would serve police, fire, and EMT services. However, the scope was soon expanded to include all “critical infrastructure” – which included water, energy, and transportation infrastructure. (https://www.digi.com/solutions/by-technology/firstnet )