Part of the reason I'm writing this is to document my adventure and recent challenges. I'm a Senior Data Scientist and I have worked on a full range of DS/ML solutions from Causal Inference to traditional ML to Deep Learning. I've been so obsessed and heads down in my craft that I spent a large part of my journey so far mastering Data Science itself (stats, linear algebra, Python, etc.). The application of these tools was always a bit secondary to me since I was laser-focused on becoming truly an expert in the tools themselves. After a lot of long days and countless hours, I find myself performing my craft with a high degree of confidence, just as I aspired.

ClassDojo's mission is to give every child on Earth an education they love. We started by building a network that connects teachers, children, and families. ClassDojo's flagship app is the #1 communication app connecting K-8 teachers, children, and families, globally. They use it to share what's happening throughout the day through photos, videos, messages, and activities. It is actively used at an unprecedented scale: in over 95% of US schools, reaching 51 million children in 180 countries, all built by a team of 65 people [1]).

This course is about the fundamental concepts of machine learning, focusing on regression, SVM, decision trees and neural networks. These topics are getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example or we may construct algorithms that can have a very good guess about stock prices movement in the market. In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together. We will use Python with SkLearn, Keras and TensorFlow.

This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning (ML) and Python. Alternatively, this program can be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies. By the end of the Specialization, you'll understand how to use the capabilities of Google Cloud to develop and deploy serverless, scalable, deep learning, and reinforcement learning models to create trading strategies that can update and train themselves. As a challenge, you're invited to apply the concepts of Reinforcement Learning to use cases in Trading. This program is intended for those who have an understanding of the foundations of Machine Learning at an intermediate level.

ISLAMABAD: Seventy-five percent work of Pakistan first high-standard artificial intelligence laboratory under CPEC at National University of Science and Technology (NUST) has been completed while the equipment installation is almost 100% finished, Gwadar Pro reported on Saturday. At the beginning of this year, the laboratory under CPEC–Qingluan Artificial Intelligence Laboratory was officially established at NUST, with joint efforts of NUST and Guangzhou Institute of Chinese Academy of Sciences. Research, development and customization is currently underway. I would say work is almost finished to 75%." Muhammad Khubaib Shabbir, Deputy Director of China Study Center of NUST told Gwadar Pro. The lab has been put into full use, both students and teaching staff are keen on researching Pattern and Facial Recognition algorithms, the reporter learned. "Currently, Cogniser-V1 intelligent video analysis project-a pilot project with the Government of Pakistan, and a commercial project, namely GymBot are the main projects that are under development." "Ideally, Cognizer-V1 is one of the most sophisticated surveillance equipment, which has the capability of converting ordinary cameras and surveillance equipment into a Smart Equipment, using AI and Computer Vision Algorithms." "To put it simple, the Cognizer-V1 has the ability to sense the people who are lurking around in certain areas and generate warnings, regarding dangerous behavioral patterns such as suicide, or other suspicious activities." In the case of Pakistan, the country is blessed with a large number of artificial intelligence application scenarios and a huge market, thanks to its world's 6th largest population. Moreover, the country is never short on talents. However, challenges lie in the commercialization of scientific achievements– an important step which can be viewed as one of the sources for innovation. Due to the backward industrial conditions and obstruction of international exchanges during the epidemic, the progress of commercialization in Pakistani scientific research institutes has been extremely slow. "Our other key project, 'GymBot', can be a perfect example of science commercialization.

In the Machine Learning specialization, we will cover Supervised Learning, Unsupervised Learning, and the basics of Deep Learning. You will apply ML algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Starting with supervised learning, we will cover linear and logistic regression, KNN, Decision trees, ensembling methods such as Random Forest and Boosting, and kernel methods such as SVM. Then we turn our attention to unsupervised methods, including dimensionality reduction techniques (e.g., PCA), clustering, and recommender systems. We finish with an introduction to deep learning basics, including choosing model architectures, building/training neural networks with libraries like Keras, and hands-on examples of CNNs and RNNs.

There is no single starting point or path you can follow to become a data scientist. You can start from anywhere -- from a science, engineering, commerce graduate, Ph. D degree and continue your journey with coding any kind of problem you see around, to attending online courses, participating in a Kaggle competition or doing a data science project under a mentor. Even there is no single starting point or path still there is set of common skills and passions that you must possess. Mathematics & reasoning comes first and along that you should have a passion for coding/programming and problem solving.

So, these are the 5 best free data science courses in the "Best Online Data Science Courses List". Now, let's move to the other best data science course for specific skills-

Machine Learning Engineering has grown in great popularity and is surpassing Data Science. The job title is high in demand with many people from Data Science careers transitioning to become Machine Learning Engineers. It is currently #6 in the top 50 Best Jobs in America, according to glassdoor. A Machine Learning (ML) Engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, in comparison to Data Scientists. The majority of ML Engineers come from one of two backgrounds.

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. I am a beginner in ML (Well, That's true).